At a Glance
- Tasks: Lead a team to design and optimise data products that drive intelligent decisions at Tesco.
- Company: Join Tesco's innovative Analytics Capabilities team in a hybrid role.
- Benefits: Enjoy a competitive salary, annual bonus, private medical insurance, and generous holiday allowance.
- Other info: Collaborate with cross-functional teams and support talent development in a dynamic environment.
- Why this job: Make a real impact on data-driven decision making while fostering a culture of innovation.
- Qualifications: Experience in developing scalable data products and expertise in SQL, Python, and analytics tools.
The predicted salary is between 60000 - 80000 £ per year.
The Analytics Capabilities team is responsible for developing and managing data products that drive intelligent experiences, decisions and actions across the Tesco ecosystem. We work in close partnership with business and technology teams across Stores, Finance, People, Customer, Commercial to enable the seamless build, consumption, integration and expansion of Data & AI capabilities. This is a fantastic opportunity to join our team and play a leading role in defining, building and launching new types of data products that have a real impact on Tesco business & colleagues. This is a hybrid role with the expectation of being based at our London and Welwyn Garden City offices 3 days a week.
What is in it for you:
- Annual bonus scheme of up to 20% of base salary
- Holiday starting at 25 days plus a personal day (plus Bank holidays)
- Private medical insurance
- 26 weeks maternity and adoption leave (after 1 years’ service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave
- Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing
You will be responsible for:
- Leading a team of analysts to design, build and optimise high-quality, scalable and secure data products that empower data driven decision making across Tesco.
- Combining technical expertise in analytics, engineering and modelling with people leadership, ensuring our data environments, tools and outputs are robust, reliable and aligned with business needs.
- Collaborating closely with data science, engineering, product and business teams to deliver impactful data solutions and foster a culture of innovation and best practice.
Key Responsibilities:
- Team Leadership: Build, mentor and develop a high-performing team of analysts, fostering a culture of growth, inclusion and technical excellence with a strong emphasis on data and advanced analytics.
- Data Product Development: Lead the design, development and optimisation of scalable, secure and high-quality data pipelines and analytical models, enabling advanced analytics, machine learning and operational use cases.
- Collaboration: Work closely with cross-functional teams, including data science, engineering, product and business stakeholders to translate business needs into robust, data driven solutions.
- Technical Excellence: Promote and enable adoption of Technical Standards and Engineering Effectiveness within development squads.
- Technical Experience: Demonstrate expertise in using SQL (Spark, Dremio), Python, GitHub and data orchestration tools (Airflow, Oozie) for data wrangling, building data pipelines and developing analytical interfaces.
- AI-Assisted Analytics: Bring experience and curiosity towards AI-assisted analytics and machine learning, actively exploring opportunities to integrate AI and ML within data and analytics products.
- Data Governance: Ensure data lineage, cataloguing and access controls are implemented and maintained, supporting compliance, discoverability and ethical use of data.
- Continuous Improvement: Drive continuous improvement (speed of delivery, product quality, reduce number of defects and time to fix) and facilitate innovation in business practices and ways of working.
- Stakeholder Engagement: Communicate complex data and analytics concepts effectively to technical and non-technical audiences, enabling informed decision making.
- Talent Development: Support recruitment, onboarding, and ongoing development of talent within the team. Identify skill gaps and lead targeted upskilling initiatives to enable the team to adopt software engineering best practices, AI capabilities, advanced analytics and automation practices.
You will need:
- Experience developing robust data products that are actionable and scalable.
- Expertise of using Spark, Dremio, Teradata or other SQL technologies.
- Strong knowledge and experience of using business intelligence, ETL frameworks and visualisation tools such as Tableau.
- Experience with Python, GitHub, data orchestration tools (Oozie, Airflow) for data wrangling, building data pipelines and building analytical/web interfaces.
- Good understanding of the full data lifecycle and understanding of typical enterprise concerns around data platforms (Governance, Quality, Security).
- Experience creating outputs for both technical and non-technical audiences.
- Ability to manipulate, analyse and synthesise data using different sources to create customer led, data driven products and high impact presentations.
Data Analytics Manager - Analytics Capabilities employer: 慨正橡扯
At Tesco, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Data Analytics Manager, you will benefit from a comprehensive package including an annual bonus scheme, generous holiday allowance, and extensive parental leave, all while working in a hybrid model at our vibrant London and Welwyn Garden City offices. We are committed to your professional growth, providing opportunities for mentorship and skill development within a supportive environment that values diversity and technical excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analytics Manager - Analytics Capabilities
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Tesco on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss SQL, Python, and data orchestration tools. We want you to shine when they ask about your experience with data products!
✨Tip Number 3
Showcase your leadership skills! Be ready to share examples of how you've built and mentored teams in the past. Tesco values collaboration, so highlight your ability to work with cross-functional teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Tesco family.
We think you need these skills to ace Data Analytics Manager - Analytics Capabilities
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Analytics Manager role. Highlight your experience with data products, analytics tools, and team leadership. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how you can contribute to our team. Be sure to mention any relevant projects or achievements that showcase your expertise.
Showcase Your Technical Skills:Don’t forget to highlight your technical skills in SQL, Python, and data orchestration tools. We love seeing candidates who can demonstrate their hands-on experience with these technologies, so be specific about your accomplishments!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at 慨正橡扯
✨Know Your Data Tools
Make sure you brush up on your technical skills, especially with SQL technologies like Spark and Dremio. Be ready to discuss how you've used these tools in past projects to develop robust data products.
✨Showcase Your Leadership Skills
As a Data Analytics Manager, you'll be leading a team. Prepare examples of how you've built and mentored teams in the past, focusing on fostering a culture of growth and technical excellence.
✨Understand the Business Impact
Be prepared to explain how your work in analytics has driven business decisions. Think of specific instances where your data solutions have had a tangible impact on the organisation's goals.
✨Communicate Effectively
Practice explaining complex data concepts in simple terms. You’ll need to engage with both technical and non-technical stakeholders, so being able to communicate clearly is key.
